edgecase

Quant interview prep — built for one user (me). Zero to hero across the four tracks every quant interview drills:

Track	What it covers
Probability	EV, Bayes, Markov, brainteasers
Pricing	Black-Scholes, Greeks, binomial, vol
Stats	OLS, time series, cointegration, GARCH
C++ / HFT	OrderBook, lock-free, low-latency idioms
Grind	LC-finance code reps (TikTok-style feed)
Sim	Orderbook + market-making playground

Stack

Same as learner: Next 16 App Router + React 19 + Tailwind 4 + Zustand + Pyodide-for-Python. Deployed to Vercel via GitHub push.

Dev

npm install
npm run dev   # http://localhost:8900

Ports: 8500=stonks · 8600=strucky · 8700=learner · 8900=edgecase · 3000=moosoo. (8800 was squatted, hence 8900.)

Status

v0.1 — scaffold + track stubs. See ARCHITECTURE.md for the curriculum spine and FOLLOWUPS.md for the active backlog.